Archivio Istituzionale della RicercaInitial efforts to report artificial intelligence (AI) incidents aimed to improve transparency, yet systematic studies have been rare. We analyzed all 639 real-world incidents in the emerging AI Incidents Database, devising an ethical framework focused on evaluating incidents along the dimensions of what, where, who, and how.
Decoding Real-World Artificial Intelligence Incidents / De Miguel Velázquez, Julia; Šćepanović, Sanja; Gvirtz, Andrés; Quercia, Daniele. - In: COMPUTER. - ISSN 0018-9162. - 57:11(2024), pp. 71-81. [10.1109/mc.2024.3432492]
Decoding Real-World Artificial Intelligence Incidents
Quercia, Daniele
2024
Abstract
Initial efforts to report artificial intelligence (AI) incidents aimed to improve transparency, yet systematic studies have been rare. We analyzed all 639 real-world incidents in the emerging AI Incidents Database, devising an ethical framework focused on evaluating incidents along the dimensions of what, where, who, and how.
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